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| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type | |
| #Keep this format for the description / args / args description but feel free to modify the tool | |
| """A tool that does nothing yet | |
| Args: | |
| arg1: the first argument | |
| arg2: the second argument | |
| """ | |
| return "What magic will you build ?" | |
| def get_current_time_in_timezone(timezone: str) -> str: | |
| """A tool that fetches the current local time in a specified timezone. | |
| Args: | |
| timezone: A string representing a valid timezone (e.g., 'America/New_York'). | |
| """ | |
| try: | |
| # Create timezone object | |
| tz = pytz.timezone(timezone) | |
| # Get current time in that timezone | |
| local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") | |
| return f"The current local time in {timezone} is: {local_time}" | |
| except Exception as e: | |
| return f"Error fetching time for timezone '{timezone}': {str(e)}" | |
| def calculate_age(birth_date: str, reference_date: str = "today") -> str: | |
| """Calculates precise age in years, months, and days from birth date to reference date. | |
| Handles multiple date formats (YYYY-MM-DD, MM/DD/YYYY, DD.MM.YYYY, etc.). | |
| Args: | |
| birth_date: The birth date in any common format (e.g., "1990-05-15", "05/15/1990", "15.05.1990") | |
| reference_date: The date to calculate age at (defaults to today). Use "today" or specific date in same formats. | |
| """ | |
| from datetime import datetime | |
| import re | |
| def parse_date(date_str): | |
| """Parse various date formats into datetime object""" | |
| if date_str.lower() == "today": | |
| return datetime.today() | |
| # Try different date patterns | |
| patterns = [ | |
| (r"(\d{4})-(\d{1,2})-(\d{1,2})", "%Y-%m-%d"), # YYYY-MM-DD | |
| (r"(\d{1,2})/(\d{1,2})/(\d{4})", "%m/%d/%Y"), # MM/DD/YYYY | |
| (r"(\d{1,2})\.(\d{1,2})\.(\d{4})", "%d.%m.%Y"), # DD.MM.YYYY | |
| (r"(\d{1,2}) (\w{3,}) (\d{4})", "%d %B %Y"), # 15 May 1990 | |
| (r"(\w{3,}) (\d{1,2}), (\d{4})", "%B %d, %Y"), # May 15, 1990 | |
| ] | |
| for pattern, fmt in patterns: | |
| if re.fullmatch(pattern, date_str): | |
| try: | |
| return datetime.strptime(date_str, fmt) | |
| except ValueError: | |
| continue | |
| raise ValueError(f"Could not parse date: {date_str}") | |
| try: | |
| # Parse dates | |
| birth_dt = parse_date(birth_date) | |
| ref_dt = parse_date(reference_date) | |
| # Calculate age | |
| if ref_dt < birth_dt: | |
| return "Error: Reference date is before birth date" | |
| years = ref_dt.year - birth_dt.year | |
| months = ref_dt.month - birth_dt.month | |
| days = ref_dt.day - birth_dt.day | |
| # Handle negative months/days | |
| if days < 0: | |
| months -= 1 | |
| # Get days in previous month | |
| if ref_dt.month == 1: | |
| prev_month = 12 | |
| prev_year = ref_dt.year - 1 | |
| else: | |
| prev_month = ref_dt.month - 1 | |
| prev_year = ref_dt.year | |
| days_in_prev_month = (datetime(prev_year, prev_month + 1, 1) - datetime(prev_year, prev_month, 1)).days | |
| days += days_in_prev_month | |
| if months < 0: | |
| years -= 1 | |
| months += 12 | |
| # Format output | |
| parts = [] | |
| if years > 0: | |
| parts.append(f"{years} year{'s' if years != 1 else ''}") | |
| if months > 0: | |
| parts.append(f"{months} month{'s' if months != 1 else ''}") | |
| if days > 0: | |
| parts.append(f"{days} day{'s' if days != 1 else ''}") | |
| if not parts: | |
| return "0 days old (born today)" | |
| return ", ".join(parts) + " old" | |
| except Exception as e: | |
| return f"Error calculating age: {str(e)}. Please check date formats." | |
| final_answer = FinalAnswerTool() | |
| # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: | |
| # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' | |
| model = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded | |
| custom_role_conversions=None, | |
| ) | |
| # Import tool from Hub | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, calculate_age], ## add your tools here (don't remove final answer) | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() |